Spatiotemporal Patterns of COVID-19 Impact on Human Activities and Environment in Mainland China Using Nighttime Light and Air Quality Data

Spatiotemporal Patterns of COVID-19 Impact on Human Activities and Environment in Mainland China Using Nighttime Light and Air Quality Data

The sudden outbreak of the COVID-19 pandemic has brought drastic changes to people’s daily lives, work, and the surrounding environment. Investigations into these changes are very important for decision makers to implement policies on economic loss assessments and stimulation packages, city reopenin...

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Bibliographic Details
Main Authors: Qian Liu, Dexuan Sha, Wei Liu, Paul Houser, Luyao Zhang, Ruizhi Hou, Hai Lan, Colin Flynn, Mingyue Lu, Tao Hu, Chaowei Yang
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Remote Sensing
Subjects:
earth system
big data
pandemic
resilience
impact and response
Online Access:https://www.mdpi.com/2072-4292/12/10/1576

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